My general research interests are in the broad field of artificial intelligence (AI), where I mainly focus on sub-fields of machine learning, and data-driven science and engineering. Current focus of my work is:
Structured Prediction for natural language processing, computer vision, bioinformatics, smart home environments, and health informatics
Machine Learning for Design Optimization with applications to engineering and scientific domains
Machine Learning to improve Electronic Design Automation for designing high-performance, energy-efficient, and reliable hardware for large-scale data analysis applications
Optimized Computer Architectures for Big Data Computing using Emerging Technologies (e.g., Through-Silicon-Via / Monolithic 3D integration, Heterogeneous systems, and Processing-in-Memory cores)
Machine Learning for Sustainable Computing and Computational Sustainability